America de Quito vs LDU Portoviejo: result 1-0 and analysis
Liga Pro Serie BRegular Season - 11Kick-off on May 6, 2017 at 02:30 PM (UTC)Estadio Olímpico Atahualpa, Quito
Full time
What was the result of America de Quito vs LDU Portoviejo?
America de Quito won 1-0 on May 6, 2017.
Goalscorers
- 19′Andrés Eloy Cheme ReascosAmerica de Quito
What is the recent form of both teams?
Over their last 10 matches in all competitions, America de Quito have 1 wins, 4 draws and 5 defeats; LDU Portoviejo have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 29, 2017 | LDU Loja(away) | 0-0 | Liga Pro Serie B |
| Apr 23, 2017 | Santa Rita(home) | 1-1 | Liga Pro Serie B |
| Apr 15, 2017 | Mushuc Runa SC(away) | 1-3 | Liga Pro Serie B |
| Apr 12, 2017 | Gualaceo SC(home) | 0-2 | Liga Pro Serie B |
| Apr 8, 2017 | Imbabura(away) | 1-1 | Liga Pro Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2017 | Aucas(home) | 2-0 | Liga Pro Serie B |
| Apr 22, 2017 | LDU Loja(away) | 0-2 | Liga Pro Serie B |
| Apr 16, 2017 | Deportivo Colon(away) | 1-1 | Liga Pro Serie B |
| Apr 13, 2017 | Santa Rita(home) | 0-0 | Liga Pro Serie B |
| Apr 8, 2017 | Mushuc Runa SC(away) | 1-2 | Liga Pro Serie B |
How many goals should we expect?
America de Quito score 0.7 and concede 1.7 goals per match over their last 10; LDU Portoviejo score 1.0 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| America de Quito | 0.7 | 1.7 | 2 | 5/10 | 5/10 |
| LDU Portoviejo | 1.0 | 1.1 | 5 | 6/15 | 5/15 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | LDU Portoviejo | 14 | 5 | 3 | 6 | 13 | 18 | 18 |
| 9 | LDU Portoviejo | 22 | 7 | 6 | 9 | 17 | 22 | 27 |
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy